Neurogranin Degradome Atlas: Predicted Proteolytic Peptide Fragments

An open-access, reproducible reference dataset enumerating the theoretical proteolytic degradome of the human neurogranin (Ng) protein. The dataset provides a panel of physicochemical properties for each predicted peptide fragment, including amino acid sequence, molecular weight, and isoelectric point. Axel Petzold created this version 1 atlas, last updated on 2026-05-05.

Use Cases

• Mass-spectrometry analysis based on predicted peptide sequences and mass-to-charge ratios.
• Biomarker discovery for neurological disorders based on neurogranin-derived peptide fragments.
• Computational proteomics workflows based on annotated physicochemical properties like hydrophobicity and instability index.
• Studying synaptic protein degradation pathways based on the enumerated theoretical degradome.

Strengths

• Dataset is fully reproducible, generated via a defined Python workflow.
• Provides 10 calculated physicochemical properties per predicted peptide fragment, including molecular weight and isoelectric point.
• Released under a permissive CC-BY-4.0 license, facilitating open reuse.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Data contains theoretical predictions; experimental validation of fragments is not included.

Provenance

Source

figshare, authored by Axel Petzold.

Collection Method

Generated in silico using a reproducible Python workflow that defines cleavage sites on the human neurogranin primary sequence.

Freshness

Last updated 2026-05-05 10:32:34; freshness should be verified.